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Deep Active Learning for Breast Cancer Segmentation on Immunohistochemistry Images.

H. Shen, K. Tian, P. Dong, J. Zhang, K. Yan, S. Che, J. Yao, P. Luo, and X. Han. MICCAI (5), volume 12265 of Lecture Notes in Computer Science, page 509-518. Springer, (2020)

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Yao Yao

Jianhua Liu

Jianhua Huang

Jianhua Zhu

Jianhua Zhang

Other publications of authors with the same name

Pancreatic Tumor Growth Prediction With Elastic-Growth Decomposition, Image-Derived Motion, and FDM-FEM Coupling.K. Wong, R. Summers, E. Kebebew, and J. Yao. IEEE Trans. Medical Imaging, 36 (1): 111-123 (2017)Digital image processing and pattern recognition techniques for the detection of cancer.J. Tang, R. Rangayyan, J. Yao, and Y. Yang. Pattern Recognit., 42 (6): 1015-1016 (2009)Open-Source Radiation Exposure Extraction Engine (RE3) with Patient-Specific Outlier Detection.S. Weisenthal, L. Folio, W. Kovacs, A. Seff, V. Derderian, R. Summers, and J. Yao. J. Digit. Imaging, 29 (4): 406-419 (2016)Enhancing Image Analytic Tools by Fusing Quantitative Physiological Values with Image Features.J. Caban, J. Yao, and D. Mollura. J. Digit. Imaging, 25 (4): 550-557 (2012)Interpretable artificial intelligence model for accurate identification of medical conditions using immune repertoire.Y. Zhao, B. He, Z. Xu, Y. Zhang, X. Zhao, Z. Huang, F. Yang, L. Wang, L. Duan, J. Song and 1 other author(s). Briefings Bioinform., (January 2023)SC-AIR-BERT: a pre-trained single-cell model for predicting the antigen-binding specificity of the adaptive immune receptor.Y. Zhao, X. Su, W. Zhang, S. Mai, Z. Xu, C. Qin, R. Yu, B. He, and J. Yao. Briefings Bioinform., (July 2023)Improving Computer-aided Detection using Convolutional Neural Networks and Random View Aggregation.H. Roth, L. Lu, J. Liu, J. Yao, A. Seff, K. Cherry, L. Kim, and R. Summers. CoRR, (2015)Unsupervised Category Discovery via Looped Deep Pseudo-Task Optimization Using a Large Scale Radiology Image Database.X. Wang, L. Lu, H. Shin, L. Kim, I. Nogues, J. Yao, and R. Summers. CoRR, (2016)Convolutional Invasion and Expansion Networks for Tumor Growth Prediction.L. Zhang, L. Lu, R. Summers, E. Kebebew, and J. Yao. CoRR, (2018)Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning.H. Shin, H. Roth, M. Gao, L. Lu, Z. Xu, I. Nogues, J. Yao, D. Mollura, and R. Summers. CoRR, (2016)

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Disambiguation of "Yao, Jianhua"

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Deep Active Learning for Breast Cancer Segmentation on Immunohistochemistry Images.

Please choose a person to relate this publication to

Yao Yao

Jianhua Liu

Jianhua Huang

Jianhua Zhu

Jianhua Zhang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Yao, Jianhua"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Deep Active Learning for Breast Cancer Segmentation on Immunohistochemistry Images.

Please choose a person to relate this publication to

Yao Yao

Jianhua Liu

Jianhua Huang

Jianhua Zhu

Jianhua Zhang

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Deep Active Learning for Breast Cancer Segmentation on Immunohistochemistry Images.